I have a Pandas timeseries object with dates and corresponding values. But, when I try to plot it, the plot is a L-shape plot (the dates and values are automatically arranged in such a way that the highest value comes first...).
This is what did to generate the plot:
df = pd.read_csv('C:\data\test1.csv') # two-column dataframe
data_list = df['values'].tolist()
dates_list = df['date'].tolist()
df_ts = pd.Series(data_list, index=dates_list)
df_ts.plot()
I am not sure where I am making a mistake. I am reading in a csv file, converting to a timeseries obj and plotting it. Any suggestions is very much appreciated.
Thanks! PD
don't bother creating the unnecessary intermediate data structures, just organize your DataFrame better.
df['date'] = pd.to_datetime(df.date) #make sure you're actually dealing with timestamps.
df.set_index('date', inplace=True)
df.sort(inplace=True)
df.plot()
Collected from the Internet
Please contact [email protected] to delete if infringement.
Comments